研究领域

应用数学，数据科学，计算数学，逆问题

教育经历

Doctor, Polytechnic University of Catalonia – Barcelona Tech, 2017

科研经历

2024-present Assistant Professor, Yau Mathematical Sciences Center, Tsinghua University,

2022-2024 Senior Research Associate, Department of Applied Mathematics and Theoretical Physics, University of Cambridge,

2017-2022 Research Associate, Department of Pure and Mathematical Statistics, University of Cambridge

荣誉与奖励

Swiss National Foundation Foundation—Project funding 2024 (for 4 years)

Accelerate-C2D3 Grant (Schmidt Futures), 2023

Oracle For Research Grant, 2023

SIAM SIAG/IS Elected Secretary to serve as an officer for the term beginning 1/1/2022 (also elected candidate).

A C2D3 Early Career Researcher Seed Fund 2022 (Isaac Newton Trust and Cambridge Centre for Data-Driven Discovery).

'Outstanding Paper Award', ICML2020.

代表性论文

–Chun-Wun Cheng, Jiahao Huang, Yi Zhang, Guang Yang, Carola-Bibiane Schönlieb, and Angelica I. Aviles-Rivero. Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs. arXiv preprint arXiv:2410.02113, 2024.

– Bryutkin, Andrey, Jiahao Huang, Zhongying Deng, Guang Yang, Carola-Bibiane Schönlieb, and Angelica Aviles-Rivero. HAMLET: Graph transformer neural operator for partial differential equations, International Conference on Machine Learning (ICML), 2024

– Yi Zhang, Chun-Wun Cheng, Ke Yu, Zhihai He, Carola-Bibiane Schönlieb, and Angelica I. Aviles-Rivero. "NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning." arXiv preprint arXiv:2407.08672, 2024.

– Tsz C Chow, Chaoyan Huang, Zhongming Wu, Tieyong Zeng, and Angelica I. Aviles-Rivero. Inertial Proximal Difference-of-Convex Algorithm with Convergent Bregman Plug-and-Play for Nonconvex Imaging. arXiv preprint arXiv:2409.03262 (2024).

– Yanqi Cheng, Lipei Zhang, Zhenda Shen, Shujun Wang, Lequan Yu, Raymond H. Chan, Carola-Bibiane Schönlieb, and Angelica I. Aviles-Rivero. "Single-Shot Plug-and-Play Methods for Inverse Problems." arXiv preprint arXiv:2311.13682 , 2023.

– Kaixuan Wei, Angelica Aviles-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, and Hua Huang. Tuning-free plug-and-play proximal algorithm for inverse imaging problems. International Conference on Machine Learning, 2020.

– Angelica Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, and Carola-Bibiane Schönlieb. GraphX-NET-cChest X-Ray Classification Under Extreme Minimal Supervision. MICCAI, 2019.